Multi-source information fusion technology for risk assessment of water inrush from coal floor karst aquifer

Autor: Bo Li, Wenping Zhang, Jie Long, Juan Fan, Mengyu Chen, Tao Li, Pu Liu
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Geomatics, Natural Hazards & Risk, Vol 13, Iss 1, Pp 2086-2106 (2022)
Druh dokumentu: article
ISSN: 19475705
1947-5713
1947-5705
DOI: 10.1080/19475705.2022.2108728
Popis: In order to effectively solve the technical problem of the prediction of coal floor water inrush, according to the spatial distribution differences of geological conditions, combined with the typical coal mine, a partition calculation map of the development depth of the mineral pressure failure zone was made, and the mining process under different geological conditions has been numerically simulated and analyzed. And the empirical formula is modified by the numerical simulation calculation results, the calculation formula of the development depth of the mineral pressure failure zone of a typical coal mine was established, which effectively improves the accuracy of the calculation of the depth of the mineral pressure failure zone and lays the foundation for the quantification of evaluation indicators related to the aquifuge. According to the hydrogeological characteristics of southwest mines in China, 12 evaluation indicators determined from the three aspects of aquifer, aquifuge and geological structure, and an evaluation index system of water inrush risk of the karst aquifer in the coal floor has been constructed. On this basis, further using GIS technology and entropy weight theory, a multi-source information evaluation method for the risk of water inrush from coal floor was proposed, and verified the evaluation results.
Databáze: Directory of Open Access Journals